The Artist | Flux Editition

Prompt
the_artist, the ai artist creating images inside the latent space, fourier waves, grids, reflective ground,
Prompt
the_artist, concept design style as the artistic representation of a transformer (AI), the opening is the part where the user hits enter and the tokenizers start to create embedding vectors which are each straw. the small nodes are the attention mechanisms, the colours the attention heads. and they keep progressing as in a time continuum tunnel (the inference), until logits explode and the model feels confident enough for the EOS token, white background,
Prompt
the_artist, the ai artist creating images inside the latent space, fourier waves, grids, reflective ground,
Prompt
the_artist, concept design style as the artistic representation of a transformer (AI), the opening is the part where the user hits enter and the tokenizers start to create embedding vectors which are each straw. the small nodes are the attention mechanisms, the colours the attention heads. and they keep progressing as in a time continuum tunnel (the inference), until logits explode and the model feels confident enough for the EOS token, white background,,
Prompt
the_artist, inside the latent space where the AI generate images, grids, geometry, waves
Prompt
the_artist, inside the latent space where the AI generate images, grids, geometry, waves
Prompt
the_artist, inside the latent space where the AI generate images, grids, geometry, waves
Prompt
the_artist, inside the latent space where the AI generate images, grids, geometry, waves

Model description

Experimental version for Flux.

With enough creativity and prompting, "the Artist" can help you generate images for diverse types and processes inside the Neural Network in an artistic/abstract way.

Ever wanted to create artistic representation of Neural Networks such as Transformers to explain how they work in a fashion viewers can understand it? Now you can:

The Colours of Attention

    the_artist, concept design style as  the artistic representation of a 
    transformer (AI), the opening is the part where the user hits enter and
    the tokenizers start to create embedding vectors which are each straw.
    the small nodes are the attention mechanisms, the colours the attention
    heads. and they keep progressing as in a time continuum tunnel 
    (the inference), until logits explode and the model feels confident 
    enough for the EOS token, white background,

DPM++ 2S A Karras, Guiding Scale 3.5 CFG 6, Steps 5, Seed 2282625028, Clip Skip 1
<Lora:theartist.flux_.safetensors:1.0>
Model: FusionV2 (Flux Schnell)

877380083466164041.png

This image Lora model should mainly be used for research and educational needs.

Although it is licensed under CC 4.0, which means that all generated images can be used for diverse ends, such as illustrations for articles, books, banners, posters.

Derivative works are accepted, allowing an educator to edit the images to add captions or fix/change specific traits.

The training model was presented with a dataset showcasing artistic interpretations of latent spaces, U-Nets, convolutions, diffusers and even transformers.

Any feedback and ideas on how we could enhance and approach related process are very welcome.


Soundtrack

Song "LuvDiffuser" by Hawkwind

He also took the lyrics and used them as image prompt with the_artist at 0.8, flux.1/schnell with dpm++ 2s A karras in 5 steps, guidance 3.5 and cfg 6:

luvdiffuser.png luvdiffuser2.png

Caption for the first image:




Disclaimer:

This model is provided “as is” without any warranty. The creators are not responsible for any misuse or unintended consequences of using this model.



For extra information, please proceed to Illustrious version: https://huggingface.co/robb-0/TheArtist-Style-IllustriousXL

Trigger words

You should use the_artist to trigger the image generation.


This is a collaborative work of a small group of community members.

All songs by Hawkwind https://huggingface.co/Hawkwind


Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.


Training settings

General
Batch
1
Gradient Acc. Steps
2
Resolution
1024x1024
Clip Skip
1
Epoch
5 of 5
Steps
465 of 465

Network
Module
networks.lora_flux
Algorithm
-
Dim / Alpha
32 / 16
Conv Dim / Alpha
8 / 1
Network Dropout
None
IP Noise Gamma
None
Optimizer
Type
AdamW8bit
Scheduler
cosine
Learning Rates
LR: 0.000002
TE:
[
  0.00001
]
UNET: 0.0005
Optional Args
-
SNR
None
Warmup Steps
0
Noise Offset
Noise Offset
0.03
Pyramid Noise Iterations
10
Discount
0.1
Training Info
Train Date
Jun 21, 2025
Train Time
0h 52m 26s
Total Images
37
Dataset
{
  "image_dir": {
    "n_repeats": 5,
    "img_count": 37
  }
}
Downloads last month
19
Inference Providers NEW
Examples

Model tree for semiosphere/the_artist_flux

Adapter
(31727)
this model

Dataset used to train semiosphere/the_artist_flux